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---
title: Materials Demo
emoji: 💻
colorFrom: purple
colorTo: red
sdk: gradio
sdk_version: 3.41.2
app_file: app.py
pinned: false
---
Description: :
We present a demo for performing object segmentation with training a Yolov8-seg on Materials dataset. The model was trained on 4424 training images and validated on 464 images.
Usage :
You can upload Materials images, and the demo will provide you with your segmented image.
Dataset :
The dataset contains 6,365 images and is formatted in COCO style. To facilitate usage with YOLOv8-seg, we have converted it into YOLOv8 format.
-Training Set: It includes 4424 images and is intended for training the model.
-Validation Set: There are 464 images in the validation set, which is used for optimizing model parameters during development.
-Test Set: This set consists of 1477 images and serves as a separate evaluation dataset to assess the performance of trained models.
-License: This dataset is made available under the Creative Commons Attribution 4.0 International License (CC BY 4.0).
To access and download this dataset, please follow this link: https://universe.roboflow.com/expand-ai/materials-semantic
Download Dataset:
To download the dataset we used, you can use the following command in colab :
!wget https://universe.roboflow.com/ds/LA0zbJDLJe?key=2sDT4tiaHm
Feel free to explore and use this repository for your object segmentation needs. If you have any questions or need assistance, please don't hesitate to reach out |